Hands-On Data Analysis in R for Finance
The subject of this textbook is to act as an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and o...
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| creator | Collard, Jean-François |
| description | The subject of this textbook is to act as an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners/professionals who need a desk reference.
Assumes no prior knowledge of R;
The content has been tested in actual university classes;
Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more;
Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet. |
| doi_str_mv | 10.1201/9781003320555 |
| format | Book |
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Assumes no prior knowledge of R;
The content has been tested in actual university classes;
Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more;
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Assumes no prior knowledge of R;
The content has been tested in actual university classes;
Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more;
Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet.</description><subject>BUSINESSnetBASE</subject><subject>Data analysis</subject><subject>Data science</subject><subject>Finance</subject><subject>INFORMATIONSCIENCEnetBASE</subject><subject>Machine learning</subject><subject>MANAGEMENTnetBASE</subject><subject>R (Computer program language)</subject><subject>SCI-TECHnetBASE</subject><subject>Statistics & Probability</subject><subject>STATSnetBASE</subject><subject>STMnetBASE</subject><subject>Time series analysis</subject><isbn>1032340983</isbn><isbn>9781032340982</isbn><isbn>1032340975</isbn><isbn>9781032340975</isbn><isbn>9781000787375</isbn><isbn>1000787311</isbn><isbn>1000787370</isbn><isbn>1003320554</isbn><isbn>9781000787313</isbn><isbn>9781003320555</isbn><isbn>9781000787375</isbn><isbn>1000787311</isbn><isbn>1000787370</isbn><isbn>1003320554</isbn><isbn>9781003320555</isbn><isbn>9781000787313</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2023</creationdate><recordtype>book</recordtype><recordid>eNqNkTFPwzAQhY0QCCgd2bMhhoLti2NnhNICElIlBLN1JLYwTW2wQ6v-ewxhgI3p9KTvnd69I-SE0XPGKbuopWKUAnAqhNgh40FTqSRIsUuOGAUOJa0V7GcBpaRcSSEPyDil1wxySaWoxSE5vUXfpsnCF9fYY3Hpsdsmlwrni4fChljMnUffmGOyZ7FLZvwzR-RpPnuc3k7uFzd308v7CdalqCYcGACrmWIWoW0stCixLGX7bMHI2gI2FZdoKFjIkRtbQ8VNU5pKMQZMwIicDXsxLc0mvYSuT3rdmecQlkn_OfP_bM40IsXAmiZ4l_RbdCuMW82UrBSthKgzcjogbzG8f5jU6-9NjfF9xE7PrqaSUc4VzWQ5kM7nila4CbFrdY_bLkQbc10u_c7w86Zsm_3Pxqj--vJfu16bmFzwHD4BHUWT6A</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Collard, Jean-François</creator><general>CRC Press</general><general>CRC Press LLC</general><general>Taylor & Francis</general><scope>OQ6</scope></search><sort><creationdate>2023</creationdate><title>Hands-On Data Analysis in R for Finance</title><author>Collard, Jean-François</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a9456-2313319181fa3dcf3da7a447dbf3e79f3ac627ae03f3781cf9362ec4e68113153</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2023</creationdate><topic>BUSINESSnetBASE</topic><topic>Data analysis</topic><topic>Data science</topic><topic>Finance</topic><topic>INFORMATIONSCIENCEnetBASE</topic><topic>Machine learning</topic><topic>MANAGEMENTnetBASE</topic><topic>R (Computer program language)</topic><topic>SCI-TECHnetBASE</topic><topic>Statistics & Probability</topic><topic>STATSnetBASE</topic><topic>STMnetBASE</topic><topic>Time series analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Collard, Jean-François</creatorcontrib><collection>ECONIS</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Collard, Jean-François</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Hands-On Data Analysis in R for Finance</btitle><date>2023</date><risdate>2023</risdate><volume>1</volume><isbn>1032340983</isbn><isbn>9781032340982</isbn><isbn>1032340975</isbn><isbn>9781032340975</isbn><isbn>9781000787375</isbn><isbn>1000787311</isbn><isbn>1000787370</isbn><isbn>1003320554</isbn><isbn>9781000787313</isbn><isbn>9781003320555</isbn><eisbn>9781000787375</eisbn><eisbn>1000787311</eisbn><eisbn>1000787370</eisbn><eisbn>1003320554</eisbn><eisbn>9781003320555</eisbn><eisbn>9781000787313</eisbn><abstract>The subject of this textbook is to act as an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners/professionals who need a desk reference.
Assumes no prior knowledge of R;
The content has been tested in actual university classes;
Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more;
Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet.</abstract><cop>Milton</cop><pub>CRC Press</pub><doi>10.1201/9781003320555</doi><oclcid>1347028757</oclcid><tpages>394</tpages><tpages>20</tpages><tpages>414</tpages><edition>First edition</edition></addata></record> |
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| identifier | ISBN: 1032340983 |
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| language | eng |
| recordid | cdi_askewsholts_vlebooks_9781000787375 |
| source | eBooks on EBSCOhost |
| subjects | BUSINESSnetBASE Data analysis Data science Finance INFORMATIONSCIENCEnetBASE Machine learning MANAGEMENTnetBASE R (Computer program language) SCI-TECHnetBASE Statistics & Probability STATSnetBASE STMnetBASE Time series analysis |
| title | Hands-On Data Analysis in R for Finance |
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